Senior Staff Data Engineer

Biohub

. Design and build data pipelines processing genomic and imaging data at petabyte scale .

Posted 11/2/2026full-timeUnited StatesSenior💰 $270,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and building large-scale data pipelines for genomic and imaging data, with a focus on reliability and performance optimization. Proficient in deploying distributed computing frameworks and cloud infrastructure to support AI-ready datasets.

Highest-signal resume keywords

Data Pipeline DesignDistributed Computing FrameworksInfrastructure As CodeCloud InfrastructureGenomics Datasets

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Hard Skills

Data Pipeline DevelopmentSoftware Engineering FundamentalsLarge-Scale Data ProcessingTerraformDatabricksSparkRayAWSQuality ControlDataset Curation

Soft Skills

Problem SolvingCollaborationAdaptability

Tools & Technologies

TerraformDatabricksSparkRayAWSCDKOME-ZarrHDF5

Industry Keywords

GenomicsBioinformaticsComputational BiologyAI-Native DevelopmentData Cataloging

Tech Stack

Tools & technologies

AWSCloudRaySparkTerraform

About the role

Key responsibilities & impact

Design and build data pipelines processing genomic and imaging data at petabyte scale
Solve performance and bandwidth challenges through creative engineering
Build agent-based systems for automated dataset curation, quality control, and workflow generation
Create data cataloging and registration tooling to make datasets discoverable and accessible
Collaborate with AI Research teams to translate model requirements into data specifications
Collaborate with scientists to integrate public and internal data into large-scale AI-ready datasets
Improve pipeline reliability and observability toward 99%+ success rates without manual intervention

Requirements

What you’ll need

12+ years of experience building reliable, operable data systems at petabyte scale
Strong software engineering fundamentals
Experience deploying distributed computing frameworks like Databricks, Spark, or Ray for large-scale data processing
Experience building and deploying large-scale data platform solutions using infrastructure as code like Terraform or CDK
Experience with cloud infrastructure, AWS preferred, and on-prem infrastructure
Comfort with ambiguity and ability to make progress when requirements are evolving
Interest in AI-native development practices and tooling
Nice to have: Background in computational biology, bioinformatics, or life sciences
Nice to have: Experience with genomics datasets and formats such as FASTQ, BAM, and VCF, or imaging formats such as OME-Zarr and HDF5

Benefits

Comp & perks

Discretionary annual performance bonus program eligibility
Generous employer match on employee 401(k) contributions
Paid time off to volunteer at an organization of your choice
Funding for select family-forming benefits
Relocation support for employees who need assistance moving
Hybrid work arrangement